Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …

In order to meet the growing needs for wireless communication in dynamic and diverse
circumstances, Cognitive Radio Networks (CRNs) have evolved as a transformational …

Introduction During the last few years, a heightened interest has been shown in classifying
scene images depicting diverse robotic environments. The surge in interest can be attributed …

In order to navigate through complex traffic scenarios safely and efficiently, the autonomous
vehicle (AV) predicts its own behavior and future trajectory based on the predicted …

Distributed energy generation increases the need for smart grid monitoring, protection, and
control. Localization, classification, and fault detection are essential for addressing any …

Cutting-edge and innovative software solutions are provided to address network security,
network virtualization, and other network-related challenges in highly congested SDN …

Traffic management is a critical activity, the population is increasing day by day and so the
traffic on the road is also increasing. Traffic jams and long waiting queues of vehicles at the …

The modern Intelligent Vehicle (IV) is a complex technological marvel that heavily relies on
the Controller Area Network (CAN) bus system to enable seamless communication among …

Introduction: The simplicity of integration and co-type features of microstrip antennas make
them intriguing for a broad variety of applications, particularly with the growing usage of …

Systems must be capable of detecting and tracking autonomous vehicles for intelligent
management and control of transportation. Even though several methods are used to create …